A novel framework for the network-wide distributed detection problem

Priyadip Ray, Pramod K. Varshney, Ruixin Niu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents a new framework for distributed target detection in wireless sensor networks (WSNs). In our previous work, for multiple networked sensors collaboratively detecting the presence or absence of a target in the sensor field, every sensor uses an identical threshold for local decision-making. In this paper, we propose a framework where the sensors in the network collaboratively decide and select non-identical thresholds to improve network-wide detection performance in a dynamic manner. This threshold selection scheme is based on a new statistical metric called False Discovery Rate (FDR). Assuming a signal attenuation model, where the received signal power decays as the distance from the target increases, various performance indices like system level probability of detection and probability of false alarm are studied. Analytical and simulation results are provided for system level probability of false alarm and probability of detection. Performance comparison between the proposed approach and the classical identical local sensor threshold approach is provided to demonstrate the effectiveness of this scheme.

Original languageEnglish (US)
Title of host publicationFUSION 2007 - 2007 10th International Conference on Information Fusion
DOIs
StatePublished - Dec 1 2007
EventFUSION 2007 - 2007 10th International Conference on Information Fusion - Quebec, QC, Canada
Duration: Jul 9 2007Jul 12 2007

Publication series

NameFUSION 2007 - 2007 10th International Conference on Information Fusion

Other

OtherFUSION 2007 - 2007 10th International Conference on Information Fusion
CountryCanada
CityQuebec, QC
Period7/9/077/12/07

Keywords

  • Decision fusion
  • Distributed detection
  • False discovery rate
  • Wireless sensor networks

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Software

Fingerprint Dive into the research topics of 'A novel framework for the network-wide distributed detection problem'. Together they form a unique fingerprint.

  • Cite this

    Ray, P., Varshney, P. K., & Niu, R. (2007). A novel framework for the network-wide distributed detection problem. In FUSION 2007 - 2007 10th International Conference on Information Fusion [4408036] (FUSION 2007 - 2007 10th International Conference on Information Fusion). https://doi.org/10.1109/ICIF.2007.4408036